Subpixel Mapping For Remote Sensing Images

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Subpixel Mapping for Remote Sensing Images

Author : Peng Wang
Publisher : CRC Press
ISBN 13 : 1000820742
Total Pages : 283 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Subpixel Mapping for Remote Sensing Images by : Peng Wang

Download or read book Subpixel Mapping for Remote Sensing Images written by Peng Wang and published by CRC Press. This book was released on 2022-12-15 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Subpixel mapping is a technology that generates a fine resolution land cover map from coarse resolution fractional images by predicting the spatial locations of different land cover classes at the subpixel scale. This book provides readers with a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Step-by-step procedures, experimental contents, and result analyses are explained clearly at the end of each chapter. Real-life applications are a great resource for understanding how and where to use subpixel mapping when dealing with different remote sensing imaging data. This book will be of interest to undergraduate and graduate students, majoring in remote sensing, surveying, mapping, and signal and information processing in universities and colleges, and it can also be used by professionals and researchers at different levels in related fields.

Hyperspectral Image Processing

Author : Liguo Wang
Publisher : Springer
ISBN 13 : 3662474565
Total Pages : 315 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Hyperspectral Image Processing by : Liguo Wang

Download or read book Hyperspectral Image Processing written by Liguo Wang and published by Springer. This book was released on 2015-07-15 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

Learning to Understand Remote Sensing Images

Author : Qi Wang
Publisher : MDPI
ISBN 13 : 3038976989
Total Pages : 376 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Learning to Understand Remote Sensing Images by : Qi Wang

Download or read book Learning to Understand Remote Sensing Images written by Qi Wang and published by MDPI. This book was released on 2019-09-30 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.

Remote Sensing Image Analysis: Including the Spatial Domain

Author : Steven M. de Jong
Publisher : Springer Science & Business Media
ISBN 13 : 1402025602
Total Pages : 359 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Remote Sensing Image Analysis: Including the Spatial Domain by : Steven M. de Jong

Download or read book Remote Sensing Image Analysis: Including the Spatial Domain written by Steven M. de Jong and published by Springer Science & Business Media. This book was released on 2007-07-26 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.

Intelligent Science and Intelligent Data Engineering

Author : Yanning Zhang
Publisher : Springer
ISBN 13 : 364231919X
Total Pages : 772 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Intelligent Science and Intelligent Data Engineering by : Yanning Zhang

Download or read book Intelligent Science and Intelligent Data Engineering written by Yanning Zhang and published by Springer. This book was released on 2012-07-23 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2011, held in Xi'an, China, in October 2011. The 97 papers presented were carefully peer-reviewed and selected from 389 submissions. The IScIDE papers in this volume are organized in topical sections on machine learning and computational intelligence; pattern recognition; computer vision and image processing; graphics and computer visualization; knowledge discovering, data mining, web mining; multimedia processing and application.

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Author : Pramod K. Varshney
Publisher : Springer Science & Business Media
ISBN 13 : 3662056054
Total Pages : 323 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by : Pramod K. Varshney

Download or read book Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data written by Pramod K. Varshney and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.

Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images

Author : Yakoub Bazi
Publisher : MDPI
ISBN 13 : 3036509860
Total Pages : 438 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images by : Yakoub Bazi

Download or read book Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images written by Yakoub Bazi and published by MDPI. This book was released on 2021-06-15 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.

2014 International Conference on Information GIS and Resource Management

Author :
Publisher : DEStech Publications, Inc
ISBN 13 : 1605951471
Total Pages : 464 pages
Book Rating : 4.6/5 (59 download)

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Book Synopsis 2014 International Conference on Information GIS and Resource Management by :

Download or read book 2014 International Conference on Information GIS and Resource Management written by and published by DEStech Publications, Inc. This book was released on 2014-02-03 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2014 International Conference on Information GIS and Resource Management (ICGRM2014) was held in Guangzhou, China, from January 3 to January 5, 2014. ICGRM2014 aims to bring researchers, engineers, and students to the areas of GIS and Resource Management. ICGRM2014 features unique mixed topics of Computer Science, Earth Science, Surveying and Mapping, and Resources and Environment Science in the context of building healthier ecology and environment. The conference will provide a forum for sharing experiences and original research contributions on those topics. The proceedings of ICGRM2014 tends to collect the up-to-date, comprehensive and worldwide state-of-art knowledge on GIS and resource management. All of accepted papers were subjected to strict peer-reviewing by 2-4 expert referees. The papers have been selected for this proceedings based on originality, significance, and clarity for the purpose of the conference. The selected papers and additional late-breaking contributions to be presented will make an exciting technical program on conference. The conference program is extremely rich, featuring high-impact presentation. We hope this conference will not only provide the participants a broad overview of the latest research results on GIS and resource management, but also provide the participants a significant platform to build academic connections. The Technical Program Committee worked very hard to have all papers reviewed before the review deadline. The final technical program consists of 57 papers which are divided into four sessions. The proceedings were published as a volume in by DEStech publishing Inc

Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1464963843
Total Pages : 3729 pages
Book Rating : 4.4/5 (649 download)

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Book Synopsis Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition by :

Download or read book Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition written by and published by ScholarlyEditions. This book was released on 2012-01-09 with total page 3729 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology. The editors have built Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Analysis, Measurement, Monitoring, Imaging, and Remote Sensing Technology: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Author : Anil Kumar
Publisher : CRC Press
ISBN 13 : 1000091546
Total Pages : 177 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification by : Anil Kumar

Download or read book Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification written by Anil Kumar and published by CRC Press. This book was released on 2020-07-19 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.

Soft Computing: Theories and Applications

Author : Millie Pant
Publisher : Springer Nature
ISBN 13 : 9811507511
Total Pages : 1452 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Soft Computing: Theories and Applications by : Millie Pant

Download or read book Soft Computing: Theories and Applications written by Millie Pant and published by Springer Nature. This book was released on 2020-02-24 with total page 1452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on soft computing and its applications to solve real-world problems in different domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It includes high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2018), organized by Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India. Offering significant insights into soft computing for teachers and researchers alike, the book inspires more researchers to work in the field of soft computing.

Remote Sensing Image Fusion

Author : Christine Pohl
Publisher : CRC Press
ISBN 13 : 1498730035
Total Pages : 289 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Remote Sensing Image Fusion by : Christine Pohl

Download or read book Remote Sensing Image Fusion written by Christine Pohl and published by CRC Press. This book was released on 2016-10-03 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world. The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.

Signal and Image Processing for Remote Sensing

Author : C.H. Chen
Publisher : CRC Press
ISBN 13 : 1439855978
Total Pages : 603 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Signal and Image Processing for Remote Sensing by : C.H. Chen

Download or read book Signal and Image Processing for Remote Sensing written by C.H. Chen and published by CRC Press. This book was released on 2012-02-22 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting info

Agro-geoinformatics

Author : Liping Di
Publisher : Springer Nature
ISBN 13 : 3030663876
Total Pages : 418 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Agro-geoinformatics by : Liping Di

Download or read book Agro-geoinformatics written by Liping Di and published by Springer Nature. This book was released on 2021-04-12 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects and presents the fundamentals, tools, and processes of utilizing geospatial information technologies to process remotely sensed data for use in agricultural monitoring and management. The issues related to handling digital agro-geoinformation, such as collecting (including field visits and remote sensing), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, and disseminating agro-geoinformation have never before been systematically documented in one volume. The book is edited by International Conference on Agro-Geoinformatics organizers Dr. Liping Di (George Mason University), who coined the term “Agro-Geoinformatics” in 2012, and Dr. Berk Üstündağ (Istanbul Technical University) and are uniquely positioned to curate and edit this foundational text. The book is composed of eighteen chapters that can each stand alone but also build on each other to give the reader a comprehensive understanding of agro-geoinformatics and what the tools and processes that compose the field can accomplish. Topics covered include land parcel identification, image processing in agricultural observation systems, databasing and managing agricultural data, crop status monitoring, moisture and evapotranspiration assessment, flood damage monitoring, agricultural decision support systems and more.

Remote Sensing of Landscapes with Spectral Images

Author : John B. Adams
Publisher : Cambridge University Press
ISBN 13 : 1316582760
Total Pages : pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis Remote Sensing of Landscapes with Spectral Images by : John B. Adams

Download or read book Remote Sensing of Landscapes with Spectral Images written by John B. Adams and published by Cambridge University Press. This book was released on 2006-05-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing of Landscapes with Spectral Images describes how to process and interpret spectral images using physical models to bridge the gap between the engineering and theoretical sides of remote-sensing and the world that we encounter when we venture outdoors. The emphasis is on the practical use of images rather than on theory and mathematical derivations. Examples are drawn from a variety of landscapes and interpretations are tested against the reality seen on the ground. The reader is led through analysis of real images (using figures and explanations); the examples are chosen to illustrate important aspects of the analytic framework. This textbook will form a valuable reference for graduate students and professionals in a variety of disciplines including ecology, forestry, geology, geography, urban planning, archaeology and civil engineering. It is supplemented by a website hosting digital colour versions of figures in the book as well as ancillary images: www.cambridge.org/9780521662214.

Machine Vision and Advanced Image Processing in Remote Sensing

Author : Ioannis Kanellopoulos
Publisher : Springer Science & Business Media
ISBN 13 : 3642601057
Total Pages : 339 pages
Book Rating : 4.6/5 (426 download)

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Book Synopsis Machine Vision and Advanced Image Processing in Remote Sensing by : Ioannis Kanellopoulos

Download or read book Machine Vision and Advanced Image Processing in Remote Sensing written by Ioannis Kanellopoulos and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes.

Spatial Diversity and Dynamics in Resources and Urban Development

Author : Ashok K. Dutt
Publisher : Springer
ISBN 13 : 9401797714
Total Pages : 562 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Spatial Diversity and Dynamics in Resources and Urban Development by : Ashok K. Dutt

Download or read book Spatial Diversity and Dynamics in Resources and Urban Development written by Ashok K. Dutt and published by Springer. This book was released on 2015-10-15 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This double-volume work focuses on socio-demographics and the use of such data to support strategic resource management and planning initiatives. Papers go beyond explanations of methods, technique and traditional applications to explore new intersections in the dynamic relationship between the utilization and management of resources, and urban development. International authors explore numerous experiences, characteristics of development and decision-making influences from across Asia and Southeast Asia, as well as recounting examples from America and Africa. Papers propound techniques and methods used in geographical research such as support vector machines, socio-economic correlates and travel behaviour analysis. In this volume the contributions examine issues such as natural resource and environmental management, livelihoods issues in the context of climate change, land markets and land trusts, adaptive management of wildlife sanctuaries, ground water scarcity, flood hazards and flood plain management, non-conventional energy resources, community forestry and management and land use and land cover change. The significance of these topics lie in the pace and volume of change as is reflected through continued development within established fields of inquiry and the introduction of significantly new approaches during the last decade. Readers are invited to consider the dynamics of spatial expansion of urban areas and economic development, and to ex plore conceptual discussion of the innovations in and challenges on urbanization processes, urban spaces themselves and both resource management and environmental management. Together, the two volumes contribute to the interdisciplinary literature on regional resources and urban development by collating recent research with geography at its core. Scholars of urban geography, human geography, urbanism and sustainable development will be particularly interested in this book.